Title :
Channel selection based on amplitude and phase characteristics for P300-based brain-computer interface
Author :
Yiyuan Wang ; Jie Li ; Rongjun Jian ; Rong Gu
Author_Institution :
Sch. of Electron. & Inf., Tongji Univ., Shanghai, China
Abstract :
Brain-Computer Interface (BCI) paradigms communicate with external world through specific electrode positions. As the oscillatory brain activity varies with different individuals, the prior experience is not enough to select the optimal channels for pattern recognition. Most channel selections are based on amplitude features. In this paper, an approach for channel selection that combines amplitude and phase features is proposed. Applied to the data set IIb of BCI Competition 2003, the method for channel selection achieved an satisfying accuracy that only one letter was predicted as wrong among thirty-one letters.
Keywords :
brain-computer interfaces; electrodes; handicapped aids; BCI; P300-based brain-computer interface; amplitude characteristics; channel selection; electrode positions; oscillatory brain activity; phase characteristics; Accuracy; Educational institutions; Electrodes; Electroencephalography; Feature extraction; Phase measurement; Support vector machines;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2760-9
DOI :
10.1109/BMEI.2013.6746934